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Record W4390863429 · doi:10.5539/ijc.v16n1p41

Using Mean Oxidation Number of Organic Carbons to Quantify Buswell’s Equation

2024· article· en· W4390863429 on OpenAlexvenueno aff
Pong Kau Yuen, Cheng Man Diana Lau

Bibliographic record

VenueInternational Journal of Chemistry · 2024
Typearticle
Languageen
FieldComputer Science
TopicComputational Drug Discovery Methods
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryStoichiometryMethaneRedoxTotal organic carbonChemical equationBiogasOrganic compoundOrganic chemistryEcology

Abstract

fetched live from OpenAlex

Buswell’s equation can represent anaerobic digestion. The overall stoichiometric chemical equation is important for the counting of biomethane and theoretical biochemical methane potential. Although the concept of oxidation number of organic carbons has been applied in organic chemistry and biochemistry, the relationship between mean oxidation number of organic carbons and quantity of biomethane has not been studied. This article uses the H-atom method as a balancing tool to build a Buswell’s model which can help understand the redox nature of organic compounds and establish the mathematical relationships among the stoichiometric coefficients of Buswell’s equation, elemental composition of organic compound, and mean oxidation number of organic carbons. By using mean oxidation number of organic carbons as a metric, the mathematical equations for the counting of biomethane and theoretical biochemical methane potential are attained. The parameters of Buswell’s equation can also be quantified by any given structural formula of an organic compound.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.445
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.388
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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